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Record W2461454544 · doi:10.1111/1365-2745.12638

Native soilborne pathogens equalize differences in competitive ability between plants of contrasting nutrient‐acquisition strategies

2016· article· en· W2461454544 on OpenAlexaff
Felipe E. Albornoz, Treena I. Burgess, Hans Lambers, Hannah Etchells, Étienne Laliberté

Bibliographic record

VenueJournal of Ecology · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsUniversité de Montréal
FundersHermon Slade FoundationHolsworth Wildlife Research EndowmentComisión Nacional de Investigación Científica y TecnológicaUniversity of Western AustraliaJohns Hopkins University
KeywordsProteaceaeBiologyPhytophthoraCompetition (biology)BotanyShrubShrublandNative plantEcosystemBiomass (ecology)NutrientEcologyIntroduced species

Abstract

fetched live from OpenAlex

Summary Soilborne pathogens can contribute to the maintenance of local plant diversity by reducing differences in competitive ability between co‐occurring plant species. It has been hypothesized that efficient phosphorus (P) acquisition by plants in P‐impoverished ecosystems might trade off against resistance to root pathogens. This could help explain high plant diversity in severely nutrient‐impoverished ecosystems. However, empirical evidence of such a trade‐off remains scarce. In hyperdiverse shrublands in south‐western Australia, non‐mycorrhizal cluster‐rooted Proteaceae are very efficient at acquiring P. However, Proteaceae co‐occur with many other plant species using other P‐acquisition strategies, such as ectomycorrhizal ( ECM ) associations. In a glasshouse experiment, we grew Proteaceae and ECM plant species from hyperdiverse shrublands alone and in competition with each other, and in the presence or absence of native soilborne pathogens ( Phytophthora spp.). We hypothesized that native Phytophthora species are more detrimental to Proteaceae than co‐occurring ECM plants, due to a trade‐off between highly efficient P‐acquisition and pathogen defence, and that this equalizes differences in competitive ability between these two plant groups. When seedlings were grown alone, biomass of non‐mycorrhizal plants was reduced in the presence of Phytopthora , while ECM species were unaffected by this pathogen. When non‐mycorrhizal and ECM species were planted together, ECM plants grew better in the presence of Phytophthora than in its absence, because Phytophthora reduced the growth of the non‐mycorrhizal competitors. Growth of ECM plants was positively correlated with per cent root colonization by ECM fungi, but this was only significant when ECM plants were grown in the presence of Phytophthora . Synthesis . Our study shows that native soilborne pathogens equalized differences in competitive ability between seedlings of contrasting nutrient‐acquisition strategies, thus supporting the hypothesis proposing a trade‐off between highly efficient P‐acquisition and resistance against root pathogens. We found that non‐mycorrhizal cluster‐rooted species may be the most efficient at acquiring the growth‐limiting resource, but that co‐occurring ECM species are better defended against root pathogens. Our results suggest that native soilborne pathogens and ECM contribute to the maintenance of the plant hyperdiversity in severely P‐impoverished ecosystems.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.248
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations82
Published2016
Admission routes1
Has abstractyes

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